Research Areas:
- AI Medicine
- Digital and Mobile Approaches to Child Health
- Empathic AI
- Crowdsourcing
- Genomics
- Microbiome Health
Research Areas:
- Open Science
- Data Management
- Data and Metadata Standards
- Ontology
- Decision Support
Research Areas:
- Computational Biology
- Functional Genomics
- Human Genetics
Dr. Langlotz is Professor of Radiology and Biomedical Informatics and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which supports outstanding interdisciplinary artificial intelligence research that optimizes how clinical images are used to promote health. As Associate Chair for Information Systems and a Medical Informatics Director for Stanford Health Care, he is also responsible for the computer technology that supports the Stanford Radiology practice, including 7 million imaging studies that occupy 0.7 petabytes of storage. Read more about rhe Center for Artificial Intelligence in Medicine & Imaging.
Research Areas:
- Design algorithms that detect and classify disease on medical images
- Enabling the clinical use of ideas conceived in the laboratory
- Develop natural language processing methods that use narrative radiology reports to create large annotated image training sets for supervised machine learning experiments